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ME , JSPE-IAIP 2026-08-24 Fukui
Nagoya Kasadera Hotel Research on Object Recognition Models That Avoid Incorrectly Assigning Known Labels to Unknown Objects
-- Analysis of Challenges in Few-Shot Open-Set Recognition Using Foundation Models --Kazuki Saito , Kazuhiko Sumi (AGU )
Open-set recognition (OSR) aims to identify and appropriately reject inputs from unseen (unknown) categories. However, e... [more]
ME2026-58
ME 2025-02-22 Online
online
Few-shot 3D Human Action Anomaly DetectionKoichiro Kamide (UT ), Chunzhi Gu (TUT ), Shun Maeda (UF ), Jun Yu (NU ), Chao Zhang (UT )
Anomaly detection for human action aims to identify action patterns that deviate from the expected behavior. Collecting ... [more]
ME2025-48
ME , AIT , MMS , IEICE-IE , IEICE-ITS , SIP [detail] 2025-02-18 Hokkaido
Hokkaido Univ. A Note on Interpretability of Visual Language Model by Few-shot Learning based on the Linear Representation HypothesisHiroki Okamura , Keisuke Maeda , Ren Togo , Takahiro Ogawa , Miki Haseyama (Hokkaido Univ. )
Visual language models (VLMs), pre-trained on vast amounts of web-based images and text, have demonstrated impressive ze... [more]
MMS2025-7 ME2025-7 AIT2025-7 SIP2025-7
AIT , ME , MMS , IEICE-IE , IEICE-ITS [detail] 2022-02-21 Online
online
A Note on Visual Sentiment Prediction Based on Few-shot Learning using Knowledge DistillationYingrui Ye , Yuya Moroto , Keisuke Maeda , Takahiro Ogawa , Miki Haseyama (Hokkaido Univ. )
The prediction of visual sentiment can be useful to understand users' behaviors. Emotion theories underlying the sentime... [more]
MMS2022-24 ME2022-49 AIT2022-24
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